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Finding the Pith in Rough Cross-Sections of Logs in Saw Mill Environments
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2006 (English)In: Proceedings SSBA 2006: Symposium in Image Analysis, 2006, 132- p.Conference paper, Published paper (Other academic)
Abstract [en]

A method for automatic estimation of the location of the pith, i.e., the centre of the annual rings, in wood log end images is presented. The images used are images of untreated log ends in saw mill environments taken with a standard digital camera. The method consists of three major steps: calculating local orientation in each pixel to compute the normal directions of the annual rings, determining where in the image these normal directions intersect, and refining the result by scalar multiplication with a filter with the properties of a circular pattern.

Place, publisher, year, edition, pages
2006. 132- p.
Keyword [en]
Image analysis, wood logs, pith detection, orientation
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-18475OAI: oai:DiVA.org:uu-18475DiVA: diva2:46247
Available from: 2006-12-21 Created: 2006-12-21 Last updated: 2010-05-07Bibliographically approved

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